{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.metrics import calinski_harabaz_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取数据\n",
    "x, y = datasets.make_blobs(n_samples=1000, n_features=2, \n",
    "                  centers=[[-1, -1], [0, 0], [1, 1], [2, 2]],\n",
    "                  cluster_std=[0.4, 0.1, 0.1, 0.1],\n",
    "                  random_state=1)\n",
    "plt.scatter(x[:, 0], x[:, 1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "3415.4240121338516"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 当n_clusters=2\n",
    "# 模型训练\n",
    "estimator = KMeans(n_clusters=2, random_state=2)\n",
    "y_pre = estimator.fit_predict(x)\n",
    "\n",
    "# 结果可视化\n",
    "plt.scatter(x[:, 0], x[:, 1], c=y_pre)\n",
    "plt.show()\n",
    "\n",
    "# 模型评估\n",
    "calinski_harabaz_score(x, y_pre)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "3322.521758436655"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 当n_clusters=3\n",
    "# 模型训练\n",
    "estimator = KMeans(n_clusters=3, random_state=2)\n",
    "y_pre = estimator.fit_predict(x)\n",
    "\n",
    "# 结果可视化\n",
    "plt.scatter(x[:, 0], x[:, 1], c=y_pre)\n",
    "plt.show()\n",
    "\n",
    "# 模型评估\n",
    "calinski_harabaz_score(x, y_pre)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "9077.845472454213"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 当n_clusters=4\n",
    "# 模型训练\n",
    "estimator = KMeans(n_clusters=4, random_state=2)\n",
    "y_pre = estimator.fit_predict(x)\n",
    "\n",
    "# 结果可视化\n",
    "plt.scatter(x[:, 0], x[:, 1], c=y_pre)\n",
    "plt.show()\n",
    "\n",
    "# 模型评估\n",
    "calinski_harabaz_score(x, y_pre)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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